Abstract
In many practical statistical situations, it is desirable to restrict the flexibility of nonparametric regression models to accommodate prior information. We propose an estimator for regression models with a smoothness penalty and constraints imposed by the nature of the problem. Our estimator is easy to implement and has an explicit algebraic structure. Alternative or additional constraints can be readily applied. We present production profiles of crude oil to demonstrate possible uses of the proposed estimator.
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